/*
 * Copyright 2022 Deep Learning on Flink Authors
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.flinkextended.flink.ml.tensorflow.io;

import org.apache.flink.core.io.InputSplit;

import org.apache.hadoop.fs.Path;

/** tensorflow TFRecord format file InputSplit. */
public class TFRecordInputSplit implements InputSplit {
    private final int index;
    private int epochs = 0;
    private final String file;

    public TFRecordInputSplit(int num, String file) {
        this.index = num;
        this.file = file;
    }

    @Override
    public int getSplitNumber() {
        return index;
    }

    public Path getPath() {
        return new Path(file);
    }

    public int getEpochs() {
        return epochs;
    }

    public void setEpochs(int epochs) {
        this.epochs = epochs;
    }

    public int getIndex() {
        return index;
    }

    @Override
    public String toString() {
        return "TFRecordInputSplit{" + "index=" + index + ", epochs=" + epochs + '}';
    }

    @Override
    public boolean equals(Object obj) {
        if (getClass().getCanonicalName().equals(obj.getClass().getCanonicalName())) {
            TFRecordInputSplit other = (TFRecordInputSplit) obj;
            return index == other.index && file.equals(other.file);
        }
        return false;
    }

    @Override
    public int hashCode() {
        return file.hashCode() * 31 + index;
    }
}
